commitments are met. Lead migration from legacy data warehouse and business intelligence platform to the new cloud native Azure platform. Be hands on with the technologies, such as constructing SQL queries, in order to facilitate effective data analysis, subject domain understanding, troubleshooting, task scoping, data quality checks, and demonstrations. Establish, maintain, and cooordinate Agile development and operations, inluding Program Increment … data standards, data engineering, data governance. Experience delivering solutions using Azure services such as ADLS, ADF, Synapse Analytics, Apache Spark. Experience with the Microsoft Business Intelligence Stack (Power BI, SQL Server, SSAS, SSRS, and SSIS). Ability to use data query and reporting tools such as SSMS, Power BI, SQLquery tools. Ability to conceptualize and articulate use of Azure More ❯
commitments are met. • Lead migration from legacy data warehouse and business intelligence platform to the new cloud native Azure platform. • Be hands on with the technologies, such as constructing SQL queries, in order to facilitate effective data analysis, subject domain understanding, troubleshooting, task scoping, data quality checks, and demonstrations. • Establish, maintain, and coordinate Agile development and operations, including Program Increment … data standards, data engineering, data governance. • Experience delivering solutions using Azure services such as ADLS, ADF, Synapse Analytics, Apache Spark. • Experience with the Microsoft Business Intelligence Stack (Power BI, SQL Server, SSAS, SSRS, and SSIS). • Ability to use data query and reporting tools such as SSMS, Power BI, SQLquery tools. • Ability to conceptualize and articulate use of Azure More ❯
to maintain, enhance, and ensure the reliability of our BI systems hosted on Microsoft Azure. Optimize and manage Azure data services, including Azure Data Factory, Azure Databricks, and Azure SQL Database, as well as Power BI for data analysis and visualization. Monitor and troubleshoot data pipelines to ensure seamless and efficient operations. Stay updated with advancements in Microsoft Azure and … and business intelligence. Hands-on experience with Microsoft Power BI or other reporting tool Fluent English and German written and spoken. Strong willingness to learn and grow. Knowledge of SQL and relational databases. Ability to work effectively in a fast-paced, dynamic environment. Being open minded, motivated, and self-organized. Nice to have : Hands on experience with Cloud platform. Microsoft … Azure is preferable. Particularly Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake Storage. Familiarity with programming languages such as Python, Scala, Java, C#. Bachelor's or Master's degree in computer science or Business Administration or related field. Knowledge of data modelling techniques and data warehousing concepts. Knowledge of basic ERP Processes in More ❯
seeking a highly experienced Sr. Power BI Consultant to design, develop, and optimize enterprise-level reporting and analytics solutions. The ideal candidate will have strong expertise inPower BI, DAX, SQL, and Python to deliver actionable insights, automate processes, and enable data-driven decision-making. Key Responsibilities: Lead the end-to-end design and development of Power BI dashboards and reports … ensuring high performance, scalability, and user adoption. Write and optimize DAX expressions for calculated measures, columns, and advanced business logic. Design and maintain robust SQL queries, views, and stored procedures to support analytics needs. Utilize Python for advanced analytics, data transformation, and integration with machine learning models. Partner with business stakeholders to gather requirements, translate needs into data models, and … Qualifications: 12+ years of experience in BI development, with at least 5 years focused onPower BI. Strong expertise in DAX, Power Query (M), and data modeling. Advanced proficiency in SQL (T-SQL, PL/SQL, or similar) for data preparation and performance tuning. Hands-on experience with Python for data wrangling, analytics, and automation. Deep understanding of data warehousing concepts More ❯
a minimum of 5-7 years of experience in MSBI(SSIS). Required Skills & Experience MSBI (SSIS) Mandatory: Minimum 5-7 years of hands-on experience in SSIS/SQL Server SQL Mandatory: Strong proficiency in SQL scripting Azure Data Factory, ADLS, Microsoft Fabric Nice to Have: Experience or Exposure in any one of these technologies. Power BI, Confluent Cloud … Nice to Have: Exposure or experience in either of these technologies is beneficial. Python/PySpark/FiveTran Nice to Have: Exposure or experience is a plus. Strong SQL skills, including complex query writing (MS SQL Server) Good experience in data modeling In-depth knowledge of Data Lakes and related modules Fair understanding of data modeling concepts and data products More ❯
years of hands-on experience as a Data Engineer working with Databricks and Apache Spark • Strong programming skills in Python, with experience in data manipulation libraries (e.g., PySpark, Spark SQL) • Experience with core components of the Databricks ecosystem: Databricks Workflows, Unity Catalog, and Delta Live Tables • Solid understanding of data warehousing principles, ETL/ELT processes, data modeling and techniques … and database systems • Proven experience with at least one major cloud platform (Azure, AWS, or GCP) • Excellent SQL skills for data querying, transformation, and analysis • Excellent communication and collaboration skills in English and German (min. B2 levels) • Ability to work independently as well as part of a team in an agile environment Responsibilities: As a Data Engineer with a focus … efficient and scalable ETL processes to ingest, transform, and load data from various sources (databases, APIs, streaming platforms) into cloud-based data lakes and warehouses • Leveraging the Databricks ecosystem (SQL, Delta Lake, Workflows, Unity Catalog) to deliver reliable and performant data workflows • Integrating with cloud services such as Azure, AWS, or GCP to enable secure, cost-effective data solutions • Contributing More ❯
remotely and in person to all levels of the organization. You will have a passion for Data technologies and will code, test, and debug new and existing applications using SQL and other Data Engineering and BI Tools. You will be driven to learn about Freewheel’s Ad-Tech driven products (MRM, Beeswax, Strata, and others) and how their processes are … software and Data Engineering applications in the Snowflake Environment• Displays in-depth knowledge of engineering methodologies, concepts, skills and their application in Snowflake and related technologies.• Develop advanced Snowflake SQL and ETL code for support of FreeWheel’s BI Systems• Utilize Snowflake standards and best practices• Work closely with internal stakeholders and business partners to understand their needs and transform … quantitative or similar field required. • 4+ years of experience in Data Analysis and Data Pipeline Engineering• Knowledge of Snowflake Architecture, Best Practices, and Implementation required• Strong knowledge of Snowflake SQL Development is required• Experience with Visualization BI tools (Looker is required. Tableau and/or Power BI is a plus). • Knowledge of Microsoft Fabric and Microsoft SQL Server is More ❯
formats, thereby promoting the sustainable use and further development of our Data Analytics Platform. What you can expect from us A hybrid data landscape with proven on-premise technologies (SQL Server, SSIS, SSAS, Power BI) and a modern Data Analytics Platform with technologies such as Databricks, dbt, Airflow, Azure Data Services, Terraform, GitHub, Python, and Fabric currently under development. A … bring A degree in business informatics, data engineering, data management or a comparable qualification. Several years of experience in data engineering, ideally with a focus on Databricks and Azure. (SQL Server, SSIS, SSAS, Power BI desirable) Initial practical experience in the development and operation of complex Data Platforms, including data integration, pipeline design, cloud and on-premise architectures, and close … collaboration with business departments to translate requirements into scalable technical solutions. Very good knowledge of SQL, Python, ETL design, dbt, Airflow. Experience with Infrastructure as Code (Terraform), CI/CD (GitHub), and monitoring (e.g., Datadog, Grafana, Prometheus). Understanding of data governance, Unity Catalog, cost monitoring, and metadata management are an advantage. Initial experience with Jira and Confluence is desirable. More ❯
experience or Associate's degree with 5+ years of relevant experience or 9+ years of relevant experience. Experience with DataBricks, Azure services (such as Azure Data Lake Storage, Azure SQL Database, Azure Synapse Analytics), and Azure Data Factory (ADF). Proficiency in SQL, data manipulation, analysis, and visualization. Some experience with Python and Machine Learning concepts. Basic understanding of data … Associate). Hands-on Experience with Python or R. Experience with Machine Learning models (regression, classification, and applied statistics/probability). Knowledge of Cloud Database Services: Microsoft Azure SQL Database, Databricks, & Synapse, Snowflake, SAP Hana Cloud. Knowledge of Data Warehouse automation tools and ETL processes. Project management and problem solving skillsets. Strong history of delivering value added solutions to More ❯
ecosystem (including pandas, numpy, scipy, stats), and a second strongly typed language (e.g.: C#, C++, Rust or Java) Expert in application design, security, release, testing and packaging Mastery of SQL/no-SQL databases, data pipeline orchestration tools Mastery of concurrent/distributed programming and performance optimisation methods. Experienced in Cloud Technologies - Azure/AWS Experienced in Source Control Technologies More ❯
with any of PCF/Openshift/AWS/Google Cloud Strong knowledge of relational databases and non-relational databases likewise Cassandra/YubaByte/DB2/Oracle/SQL Experience with microservices and API design Superior problem-solving skills and debugging capabilities Knowledge of relational and multidimensional data design and development techniques including star schema, snowflake schema, cube design More ❯
with low-code solutions. Familiarity with MATLAB or Pandas/Polar for numerical computing and data analysis, particularly for processing workflows that require complex calculations. Database Management : Proficiency in SQL for database management (such as Microsoft SQL Server, MySQL, or PostgreSQL), including schema design, query optimisation, and data manipulation. DevOps : Knowledge of Continuous Integration and Continuous Deployment (CI/CD More ❯
quality, utilizing TDD methodologies to ensure code reliability and maintainability. Security Practices: Knowledgeable in cybersecurity practices, including OAuth, OpenID Connect, and secure coding practices. Advanced Database Knowledge:Proficient in SQL and data modelling. SOLID Principles:Proficient in applying SOLID principles for object-oriented programming, ensuring clean, maintainable, and scalable code. Additional Skills (Good to Have): Programming Language: Python, Angular Containerisation More ❯
machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics (Python, R, SQL) Experience with data visualization tools (Tableau, Power BI, etc.) You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and More ❯
Washington, Washington DC, United States Hybrid / WFH Options
Zolon Tech, Inc
data-driven initiatives for a federal program. This role will focus on designing and building modern reporting solutions, automating business processes, and integrating data across platforms such as SharePoint, SQL, and Excel. The ideal candidate brings both technical expertise and a practical understanding of business analytics and workflow automation in a federal environment. Key Responsibilities: Design, develop, and maintain Power … dashboards, and data models using DAX Build and support low-code/no-code applications using Microsoft Power Apps and automated workflows using Power Automate Integrate data from SharePoint, SQL Server, Excel, and other data sources into unified reporting solutions Collaborate with stakeholders to gather requirements and translate them into actionable data visualizations and tools Create reusable templates and workflows … including DAX, data modeling, and advanced visuals) Strong experience with Microsoft Power Platform, especially Power Apps and Power Automate Proven ability to integrate data from multiple systems, including SharePoint, SQL, and Excel Solid understanding of data governance, security roles, and user access management in Microsoft environments Familiarity with Agile methodologies and working within federal or highly regulated environments Strong problem More ❯
.NET C# Engineer to join our fastpaced and collaborative IT team. The ideal candidate will have strong experience building and maintaining enterprise-level .NET applications and working with complex SQL Server-based systems. Key Responsibilities: Design, develop, and maintain applications using C#, .NET Framework/.NET Core, and related Microsoft technologies. Analyze and refactor legacy systems to improve performance, maintainability … and scalability. Develop and optimize complex SQL Server stored procedures, views, and data models. Collaborate with cross-functional teams, including accountants and business analysts, to understand and translate business requirements into technical solutions. Participate in peer code reviews, unit testing, debugging, and production support. Write clear technical documentation and maintain project artifacts. Reverse engineering existing Code to understand/develop … requirements. Requirements: Bachelor's degree in Computer Science, Information Technology, or related field. 10+ years of experience in software development. Strong experience with SQL Server development (T-SQL, stored procedures, views, functions). Excellent troubleshooting and problem-solving skills. Familiarity with object-oriented design principles, software architecture, and design patterns. Excellent debugging, problem-solving, and communication skills. Ability to work More ❯
ll Be Doing Build & Scale: Design and implement data integration solutions using Informatica IDMC. Secure Transfers: Manage data movement with GoAnywhere, ensuring information flows safely and reliably across systems. SQL Expertise: Write and optimize advanced SQL queries to drive data transformation and load processes. Cloud Warehousing: Develop and manage pipelines within Snowflake, unlocking the power of cloud-scale analytics. Automation … Bring to the Table Strong expertise in ETL/ELT, data integration, and warehousing concepts. Hands-on experience with Informatica IDMC. Proficiency with GoAnywhere for secure data transfer. Advanced SQL skills with a focus on performance and optimization. Practical experience with Snowflake. Strong scripting skills in Python (Java or C# a plus). Experience developing Power BI dashboards. Strong communication More ❯
seeking a Database Developer for an exciting direct hire opportunity. DUTIES:Design and develop ETL processes to transform a variety of raw data, flat files and excel spreadsheets into SQL databases. Develop and optimize queries, stored procedure, functions, views, and automation scripts using SQL, TSQL, Python, C#, and/or Powershell. Utilize data management best practices and in-depth usage … of Microsoft SSIS & SSRS to accomplish business initiatives. Create and maintain a complex reporting structure including data storage systems, data sets, reports and dashboards using SQL queries, stored procedures, and programming languages such as R and Python. Evaluate business requests for data and reports to determine feasibility, cost and time required, compatibility with current systems, and effectiveness. Develop business requirements … initiatives. Develop and maintain user guides, diagrams, procedures, and business continuity information. REQUIREMENTS: 3+ years of overall Database Development experience (experience in financial services a plus) Advanced knowledge of SQL and in-depth experience using Microsoft SSIS & SSRS, and Python. Extensive knowledge in Microsoft Power BI, Power BI Desktop, Service, Gateways, Incremental data refresh, and Row level security. Proven experience More ❯
system architecture decisions Experience leading testing disciplines within agile projects Self-starter with initiative and enthusiasm Minimum Criteria: 5+ years of experience in ETL/MI data testing Advanced SQL skills for reconciling source/target data and validating business rules Proficiency with querying tools such as SQL Developer and PostgreSQL/DBeaver Experience with ETL tools (eg, ODI ) and More ❯
Oldham, Lancashire, England, United Kingdom Hybrid / WFH Options
the guinness partnership
business. You will also be able to demonstrate the below essential skills and experience: Experience in the development, programming and integration across one or more development languages such as SQL, .NET, HTML, Java, XML, C++, C#, PHM, Python, etc. Broad Experience of a range of technology solutions including ERP, CRM, ESB, Azure, Cloud, AI, IoT, RPA, etc. Experience of one … structure development approach such as Waterfall, Agile, Scrum, Kanban using AzureDevOps, JIRA or equivalent. Some experience or awareness in one of the following technology platforms: Dynamics 365 CE, PowerPlatform, SQL Server (including SSIS or SSRS), Azure. Willingness to learn new technologies, platforms, and programming languages while in role. Problem solving/debugging/issue resolution. Good oral and written communications. More ❯
relationships at senior levels with current and prospective clients. Our Tech Stack Cloud: Azure, sometimes GCP & AWS Data Platform: Databricks, Snowflake, BigQuery Data Engineering tools: Pyspark, Polars, DuckDB, Malloy, SQL Infrastructure-as-code: Terraform, Pulumi Data Management and Orchestration: Airflow, dbt Databases and Data Warehouses: SQL Server, PostgreSQL, MongoDB, Qdrant, Pinecone GenAI: OpenAI APIs, HuggingFace, LangChain, Talk-to-data Monitoring … oriented role. Passion for data with extensive knowledge and experience in Machine Learning techniques. Expertise in key technologies related to Data Management. Proficiency in Python is required; knowledge of SQL and Spark is a plus. Experience with Cloud platforms, specifically Azure and Databricks. In-depth knowledge and experience in Data Analytics Architecture. Understanding of Data Governance processes and platforms. Experience More ❯
Good experience with implementing automated testing Good experience with Infrastructure as Code with Terraform Strong understanding of Agile delivery methodologies Strong understanding of database systems and data warehousing, such SQL server and Snowflake Good knowledge of Angular and C# Good knowledge of SQL Degree educated in mathematics or scientific/engineering discipline Nice to have skills Craftsman-like approach to More ❯
SOLID principles, and modern design patterns - Development experience in Microsoft .Net Framework and experience in Front-end JavaScript frameworks like Angular & React - Traditional Relational Database technologies like Oracle, MS SQL Server and - No SQL Databases like MongoDB or DynamoDB - SOA & Microservices architecture implementation using REST APIs, queue-based messaging patterns, exposure to Mulesoft/Kong is a plus - On-premise More ❯
Science, Engineering, or a related field. - 3+ years of experience in data engineering or related roles. - Strong programming skills in languages such as Python, Java, or Scala. - Expertise in SQL and experience with both relational and NoSQL databases. - Familiarity with cloud platforms (e.g., AWS) and their services. - Knowledge of data modeling, data warehousing, and ETL design patterns. - Experience with version More ❯
